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首页> 外文期刊>American journal of applied sciences >An Optimal Path Management Strategy in Mobile Ad Hoc Network using Fuzzy and Rough Set Theory
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An Optimal Path Management Strategy in Mobile Ad Hoc Network using Fuzzy and Rough Set Theory

机译：基于模糊粗糙集理论的移动自组网最优路径管理策略。

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Problem statement: Mobile Ad Hoc Network (MANET) is a collection of wireless mobile nodes that dynamically forms a network. Most of the existing ad-hoc routing algorithms select the shortest path using various resources. However the selected path may not consider all the network parameters and this would result in link instability in the network. The problems with existing methods are frequent route change with respect to change in topology, congestion as result of traffic and battery limitations since it's an infrastructure less network. Approach: To overcome these problems an optimal path management approach called path vector calculation based on fuzzy and rough set theory were addressed. The ultimate intend of this study was to select the qualified path based on power consumption in the node, number of internodes and traffic load in the network. Simple rules were generated using fuzzy and rough set techniques for calculating path vector and to remove irrelevant attributes (resources) for evaluating the best routing. The set of rules were evaluated with proactive and reactive protocols namely DSDV, AODV and DSR in the NS-2 simulation environment based on metrics such as total energy consumed, throughput, packet delivery ratio and average end-to-end delay. Results: The results had shown that in MANET, decision rules with fuzzy and rough set technique had provided qualified path based best routing. Conclusion: The network life time and performance of reactive and proactive protocols in MANET has improved with fuzzy and rough set based decision rules.
机译：问题陈述：移动自组织网络（MANET）是动态形成网络的无线移动节点的集合。大多数现有的临时路由算法都使用各种资源来选择最短路径。但是，所选路径可能未考虑所有网络参数，这将导致网络中的链路不稳定。现有方法的问题在于，由于拓扑结构的网络较少，因此经常会因拓扑变化而频繁更改路由，由于流量和电池限制而导致拥塞。方法：为克服这些问题，提出了一种基于模糊和粗糙集理论的最优路径管理方法，称为路径矢量计算。这项研究的最终目的是根据节点的功耗，节点间的数量和网络中的流量负载选择合格的路径。使用模糊和粗糙集技术生成简单规则以计算路径向量，并删除无关的属性（资源）以评估最佳路由。在NS-2仿真环境中，使用诸如DSDV，AODV和DSR的主动和被动协议，根据诸如总能耗，吞吐量，数据包传输率和平均端到端延迟之类的指标，对规则集进行了评估。结果：结果表明，在MANET中，采用模糊和粗糙集技术的决策规则提供了基于合格路径的最佳路由。结论：通过基于模糊和粗糙集的决策规则，MANET的网络生存时间以及反应式和主动式协议的性能得到了改善。

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